Johann Petrak
Johann Petrak
Austrian Research Institute for Artificial Intelligence (OFAI) and Uni Sheffield, NLP group, GATE
Bestätigte E-Mail-Adresse bei sheffield.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Text Processing with GATE (Version 6).
DMH Cunningham, K Bontcheva
University of Sheffield D, 2011
763*2011
Analysis of named entity recognition and linking for tweets
L Derczynski, D Maynard, G Rizzo, M Van Erp, G Gorrell, R Troncy, ...
Information Processing & Management 51 (2), 32-49, 2015
3722015
An evaluation of landmarking variants
J Fürnkranz, J Petrak
Working Notes of the ECML/PKDD 2000 Workshop on Integrating Aspects of Data …, 2001
1102001
Developing language processing components with GATE version 8
H Cunningham, D Maynard, K Bontcheva, V Tablan, N Aswani, I Roberts, ...
University of Sheffield Department of Computer Science, 2014
522014
Sampling-based relative landmarks: Systematically test-driving algorithms before choosing
C Soares, J Petrak, P Brazdil
Portuguese conference on artificial intelligence, 88-95, 2001
502001
Fast subsampling performance estimates for classification algorithm selection
J Petrak
Proceedings of the ECML-00 Workshop on Meta-Learning: Building Automatic …, 2000
442000
Knowledge discovery in international conflict databases
J Furnkranz, J Petrak, R Trappl
Applied Artificial Intelligence 11 (2), 91-118, 1997
391997
GPSDB: a new database for synonyms expansion of gene and protein names
V Pillet, M Zehnder, AK Seewald, AL Veuthey, J Petrak
Bioinformatics 21 (8), 1743-1744, 2005
292005
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study.
AK Seewald, J Petrak, G Widmer
FLAIRS Conference, 407-411, 2001
232001
Using@ Twitter conventions to improve# lod-based named entity disambiguation
G Gorrell, J Petrak, K Bontcheva
European semantic web conference, 171-186, 2015
192015
On the use of fast subsampling estimates for algorithm recommendation
J Fürnkranz, J Petrak, P Brazdil, C Soares
Technical Report, Austrian Research Institute for Artificial Intelligence, 2002
182002
Team bertha von suttner at semeval-2019 task 4: Hyperpartisan news detection using elmo sentence representation convolutional network
Y Jiang, J Petrak, X Song, K Bontcheva, D Maynard
Proceedings of the 13th International Workshop on Semantic Evaluation, 840-844, 2019
172019
Adapted textrank for term extraction: A generic method of improving automatic term extraction algorithms
Z Zhang, J Petrak, D Maynard
Procedia Computer Science 137, 102-108, 2018
172018
Random indexing for finding similar nodes within large RDF graphs
D Damljanovic, J Petrak, M Lupu, H Cunningham, M Carlsson, ...
Extended Semantic Web Conference, 156-171, 2011
152011
Searching for patterns in political event sequences: Experiments with the KEDS database
K Kovar, J Fürnkranz, J Petrak, B Pfahringer, R Trappl, G Widmer
Cybernetics & Systems 31 (6), 649-668, 2000
152000
A deep neural network sentence level classification method with context information
X Song, J Petrak, A Roberts
arXiv preprint arXiv:1809.00934, 2018
132018
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases'
R Trappl, J Fürnkranz, J Petrak
ECAI, 453-457, 1996
131996
Data Mining–Methoden und Anwendungen
J Petrak
Östereichisches Forschungszentrum für Artificial Intelligence. Wien http …, 1997
111997
Text Processing with GATE (Version 6). University of Sheffield Department of Computer Science; 2011
H Cunningham, D Maynard, K Bontcheva, V Tablan, N Aswani, I Roberts, ...
102011
Web site access analysis for a national statistical agency
A Jorge, MA Alves, M Grobelnik, D Mladenić, J Petrak
Data Mining and Decision Support, 167-176, 2003
102003
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